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GitHub Copilot Enterprise pricing [2026]: seats, AI credits, and the September cliff

GitHub Copilot Enterprise pricing is $39 per user per month, and since June 1, 2026, each seat includes $39 in monthly GitHub AI Credits, pooled across your whole organization and consumed by token usage at per-model rates. The seat price is fixed. The bill is not: usage beyond the pooled credits is charged on top, which is why the real Enterprise question in 2026 isn't the price per seat. It's your engineers' token consumption.

Shipped: CUR 2.0 is GA, and migrating takes one click

CUR 2.0 is generally available and on by default, so every AWS connection you make now starts with the richest billing data AWS offers. That richness is important. CUR 2.0 carries AWS caller identity, which is what puts Bedrock and other AI spend on the role that drove it instead of leaving it as one number in your bill. It also populates AWS Account Name automatically. Both of those are yours the moment the connection is live. Getting there is a single step now.

5 Compliance Challenges Puppet Customers Are Solving Next

In conversations with customers, compliance rarely starts as a tooling discussion. It usually starts with a practical concern: how do we keep moving, keep modernizing, and still know that our infrastructure is aligned to the policies we are accountable for? That question comes up because the pressure is real. Teams are managing hybrid estates, responding to audit requests, dealing with drift, supporting new platforms, and being asked to move faster without creating more risk.

How Datadog saves over $1 million each month by optimizing AI usage

At Datadog, we want to expose our engineers to high-quality AI tools and workflows. However, token usage can be expensive, and finding a balance between AI cloud spend and the return on investment can be difficult. But what if engineers could maintain their current AI workflows using the same tools, but at a lower cost?

Beyond the $1 AI era: How federal agencies can build the evidence for FY27 renewals

Over the past year, federal agencies gained broad access to enterprise AI through the OneGov initiative, at prices unlike any normal software deal. The current OneGov portal lists OpenAI ChatGPT Enterprise at $1 per agency, Anthropic Claude at $1 per seat, and Google Gemini for Government at $0.47 per agency. Those introductory offers begin expiring on September 30, 2026, the final day of fiscal year (FY) 26, which places renewal squarely in the FY27 planning cycle.

CircleCI Smarter Testing: Stop running tests that don't matter

Testing consumes up to 50% of CI/CD pipeline time. That’s the single most expensive place in your delivery pipeline, and a meaningful share of that time is often wasted running tests unaffected by the change. Every time a developer pushes a commit, the full test suite runs. A two-line bug fix in auth.py triggers 2,000 tests, including 1,900 that don’t touch anything near auth.py. Those unrelated tests are overwhelmingly likely to pass, but the pipeline still spends 20 minutes running them.

Built-in vs. custom: How to choose a Konstruct cluster template strategy

If you've ever inherited a cluster that nobody fully understands, or watched two teams solve the same infrastructure problem in completely different ways, you've already felt the cost of not having a template strategy. It's not always dramatic; it starts with a different CNI here, a missing cert-manager version there, but it compounds. Six months later, cluster configuration is tribal knowledge, and the platform team has become the bottleneck.

Best AI Tools for Virtual Production and Digital Sets

Virtual production used to mean an LED volume and a real-time rendering team, a genuinely expensive way to put an actor in front of a digital environment. AI has opened a cheaper path to a similar result: generating a full digital set, or extending a partial physical build into one, without the volume itself. This guide covers the AI tools genuinely useful for virtual production and digital set work, from a full production platform that can generate and move a camera through a digital environment to tools built for building the environment itself.

Best AI Tools for Consistent Character Voices, Not Just Faces

Most character-consistency conversations are really about faces, a locked reference sheet, a checked proportion, a matched wardrobe detail. Voice gets treated as an afterthought, generated separately, checked less carefully, and drift there is just as noticeable as a face that's subtly wrong, even though it gets far less attention. This guide covers the AI tools genuinely useful for holding a character's voice consistent, not as a separate task bolted onto visual consistency, but as part of the same character identity.